Literature DB >> 25566414

Next-Generation Sequencing: A Review of Technologies and Tools for Wound Microbiome Research.

Brendan P Hodkinson1, Elizabeth A Grice1.   

Abstract

Significance: The colonization of wounds by specific microbes or communities of microbes may delay healing and/or lead to infection-related complication. Studies of wound-associated microbial communities (microbiomes) to date have primarily relied upon culture-based methods, which are known to have extreme biases and are not reliable for the characterization of microbiomes. Biofilms are very resistant to culture and are therefore especially difficult to study with techniques that remain standard in clinical settings. Recent Advances: Culture-independent approaches employing next-generation DNA sequencing have provided researchers and clinicians a window into wound-associated microbiomes that could not be achieved before and has begun to transform our view of wound-associated biodiversity. Within the past decade, many platforms have arisen for performing this type of sequencing, with various types of applications for microbiome research being possible on each. Critical Issues: Wound care incorporating knowledge of microbiomes gained from next-generation sequencing could guide clinical management and treatments. The purpose of this review is to outline the current platforms, their applications, and the steps necessary to undertake microbiome studies using next-generation sequencing. Future Directions: As DNA sequencing technology progresses, platforms will continue to produce longer reads and more reads per run at lower costs. A major future challenge is to implement these technologies in clinical settings for more precise and rapid identification of wound bioburden.

Year:  2015        PMID: 25566414      PMCID: PMC4281878          DOI: 10.1089/wound.2014.0542

Source DB:  PubMed          Journal:  Adv Wound Care (New Rochelle)        ISSN: 2162-1918            Impact factor:   4.730


  42 in total

Review 1.  Next-generation DNA sequencing methods.

Authors:  Elaine R Mardis
Journal:  Annu Rev Genomics Hum Genet       Date:  2008       Impact factor: 8.929

2.  An obesity-associated gut microbiome with increased capacity for energy harvest.

Authors:  Peter J Turnbaugh; Ruth E Ley; Michael A Mahowald; Vincent Magrini; Elaine R Mardis; Jeffrey I Gordon
Journal:  Nature       Date:  2006-12-21       Impact factor: 49.962

3.  MetAMOS: a modular and open source metagenomic assembly and analysis pipeline.

Authors:  Todd J Treangen; Sergey Koren; Daniel D Sommer; Bo Liu; Irina Astrovskaya; Brian Ondov; Aaron E Darling; Adam M Phillippy; Mihai Pop
Journal:  Genome Biol       Date:  2013-01-15       Impact factor: 13.583

4.  TagCleaner: Identification and removal of tag sequences from genomic and metagenomic datasets.

Authors:  Robert Schmieder; Yan Wei Lim; Forest Rohwer; Robert Edwards
Journal:  BMC Bioinformatics       Date:  2010-06-23       Impact factor: 3.169

Review 5.  Microbial community profiling for human microbiome projects: Tools, techniques, and challenges.

Authors:  Micah Hamady; Rob Knight
Journal:  Genome Res       Date:  2009-04-21       Impact factor: 9.043

6.  MetaVelvet: an extension of Velvet assembler to de novo metagenome assembly from short sequence reads.

Authors:  Toshiaki Namiki; Tsuyoshi Hachiya; Hideaki Tanaka; Yasubumi Sakakibara
Journal:  Nucleic Acids Res       Date:  2012-07-19       Impact factor: 16.971

7.  Nearly finished genomes produced using gel microdroplet culturing reveal substantial intraspecies genomic diversity within the human microbiome.

Authors:  Michael S Fitzsimons; Mark Novotny; Chien-Chi Lo; Armand E K Dichosa; Joyclyn L Yee-Greenbaum; Jeremy P Snook; Wei Gu; Olga Chertkov; Karen W Davenport; Kim McMurry; Krista G Reitenga; Ashlynn R Daughton; Jian He; Shannon L Johnson; Cheryl D Gleasner; Patti L Wills; Beverly Parson-Quintana; Patrick S Chain; John C Detter; Roger S Lasken; Cliff S Han
Journal:  Genome Res       Date:  2013-03-14       Impact factor: 9.043

8.  Parallel metatranscriptome analyses of host and symbiont gene expression in the gut of the termite Reticulitermes flavipes.

Authors:  Aurélien Tartar; Marsha M Wheeler; Xuguo Zhou; Monique R Coy; Drion G Boucias; Michael E Scharf
Journal:  Biotechnol Biofuels       Date:  2009-10-15       Impact factor: 6.040

9.  The COG database: an updated version includes eukaryotes.

Authors:  Roman L Tatusov; Natalie D Fedorova; John D Jackson; Aviva R Jacobs; Boris Kiryutin; Eugene V Koonin; Dmitri M Krylov; Raja Mazumder; Sergei L Mekhedov; Anastasia N Nikolskaya; B Sridhar Rao; Sergei Smirnov; Alexander V Sverdlov; Sona Vasudevan; Yuri I Wolf; Jodie J Yin; Darren A Natale
Journal:  BMC Bioinformatics       Date:  2003-09-11       Impact factor: 3.169

10.  PEAR: a fast and accurate Illumina Paired-End reAd mergeR.

Authors:  Jiajie Zhang; Kassian Kobert; Tomáš Flouri; Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2013-10-18       Impact factor: 6.937

View more
  24 in total

1.  Exact variance component tests for longitudinal microbiome studies.

Authors:  Jing Zhai; Kenneth Knox; Homer L Twigg; Hua Zhou; Jin J Zhou
Journal:  Genet Epidemiol       Date:  2019-01-08       Impact factor: 2.135

Review 2.  Progress of analytical tools and techniques for human gut microbiome research.

Authors:  Eun-Ji Song; Eun-Sook Lee; Young-Do Nam
Journal:  J Microbiol       Date:  2018-09-28       Impact factor: 3.422

3.  Comparison of Microbiomes between Red Poultry Mite Populations (Dermanyssus gallinae): Predominance of Bartonella-like Bacteria.

Authors:  Jan Hubert; Tomas Erban; Jan Kopecky; Bruno Sopko; Marta Nesvorna; Martina Lichovnikova; Sabine Schicht; Christina Strube; Olivier Sparagano
Journal:  Microb Ecol       Date:  2017-05-22       Impact factor: 4.552

Review 4.  Biology and Biomarkers for Wound Healing.

Authors:  Linsey E Lindley; Olivera Stojadinovic; Irena Pastar; Marjana Tomic-Canic
Journal:  Plast Reconstr Surg       Date:  2016-09       Impact factor: 4.730

Review 5.  Whole transcriptome analysis with sequencing: methods, challenges and potential solutions.

Authors:  Zhihua Jiang; Xiang Zhou; Rui Li; Jennifer J Michal; Shuwen Zhang; Michael V Dodson; Zhiwu Zhang; Richard M Harland
Journal:  Cell Mol Life Sci       Date:  2015-05-28       Impact factor: 9.261

Review 6.  Advances in monitoring soil microbial community dynamic and function.

Authors:  K K Nkongolo; R Narendrula-Kotha
Journal:  J Appl Genet       Date:  2020-02-15       Impact factor: 3.240

7.  Object-oriented regression for building predictive models with high dimensional omics data from translational studies.

Authors:  Lue Ping Zhao; Hamid Bolouri
Journal:  J Biomed Inform       Date:  2016-03-10       Impact factor: 6.317

8.  Targeted Treatment for Bacterial Infections: Prospects for Pathogen-Specific Antibiotics Coupled with Rapid Diagnostics.

Authors:  Tucker Maxson; Douglas A Mitchell
Journal:  Tetrahedron       Date:  2015-10-09       Impact factor: 2.457

9.  NEAT: a framework for building fully automated NGS pipelines and analyses.

Authors:  Patrick Schorderet
Journal:  BMC Bioinformatics       Date:  2016-02-01       Impact factor: 3.169

Review 10.  Next-generation sequencing as an approach to dairy starter selection.

Authors:  Philip Kelleher; James Murphy; Jennifer Mahony; Douwe van Sinderen
Journal:  Dairy Sci Technol       Date:  2015-04-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.